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Development and Validation of a Machine Learning-Based Risk Prediction Model for Cognitive Frailty in Elderly Patients with Colorectal Cancer

Development and Validation of a Machine Learning-Based Risk Prediction Model for Cognitive Frailty in Elderly Patients with Colorectal Cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600124327
Enrollment
Unknown
Registered
2026-05-11
Start date
2026-06-01
Completion date
Unknown
Last updated
2026-05-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Cancer

Interventions

Observation group:None

Sponsors

Qilu Hospital of Shandong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Aged >=60 years; 2. Patients diagnosed with colorectal cancer according to the ICD-11 (International Classification of Diseases, 11th Revision) criteria who have undergone surgical treatment; 3. Normal language expression and communication abilities, capable of accurately completing the questionnaire independently or with guidance from the researcher; 4. Voluntary participation in the study with signed informed consent.

Exclusion criteria

Exclusion criteria: 1. Previous diagnosis of Alzheimer's disease or other psychiatric disorders; 2. Severe visual or hearing impairment precluding completion of the questionnaire and assessment; 3. Patients unable to cooperate with the study; 4. Patients with concurrent other malignancies.

Design outcomes

Primary

MeasureTime frame
Cognitive Frailty;—

Countries

China

Contacts

Public ContactBinbin Zhang

Qilu Hospital of Shandong University

zhangbb@sdu.edu.cn+86 185 6008 5288

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 22, 2026